MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
13534
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | NoobNotFound |
| Upload Date | June 27 2025 01:46 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5537
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
12839
2.40 KIPS |
|
|
Image Classification (I8)
|
99% |
14155
2.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2226
37.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2743
45.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2782
46.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
42804
51.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
108756
131.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
102850
124.5 IPS |
|
|
Object Detection (F32)
|
100% |
4367
326.0 IPS |
|
|
Object Detection (F16)
|
100% |
7503
560.1 IPS |
|
|
Object Detection (I8)
|
97% |
4132
308.4 IPS |
|
|
Face Detection (F32)
|
100% |
14814
176.1 IPS |
|
|
Face Detection (F16)
|
97% |
22784
270.9 IPS |
|
|
Face Detection (I8)
|
96% |
23416
278.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
26561
206.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
74856
580.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
82223
637.6 IPS |
|
|
Style Transfer (F32)
|
100% |
87283
114.8 IPS |
|
|
Style Transfer (F16)
|
100% |
159703
210.1 IPS |
|
|
Style Transfer (I8)
|
100% |
160127
210.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9843
351.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
40306
1.44 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
39855
1.42 KIPS |
|
|
Text Classification (F32)
|
100% |
2620
3.77 KIPS |
|
|
Text Classification (F16)
|
100% |
4690
6.74 KIPS |
|
|
Text Classification (I8)
|
96% |
4635
6.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1608
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1392
25.6 IPS |
