MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
12763
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 12:13 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 5 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% |
5206
974.2 IPS |
|
|
Image Classification (F16)
|
100% |
12322
2.31 KIPS |
|
|
Image Classification (I8)
|
99% |
15757
2.95 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2335
39.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2771
46.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2679
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
31929
38.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
108860
131.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
108901
131.9 IPS |
|
|
Object Detection (F32)
|
100% |
4108
306.7 IPS |
|
|
Object Detection (F16)
|
100% |
6850
511.4 IPS |
|
|
Object Detection (I8)
|
97% |
3476
259.5 IPS |
|
|
Face Detection (F32)
|
100% |
14607
173.7 IPS |
|
|
Face Detection (F16)
|
97% |
23102
274.7 IPS |
|
|
Face Detection (I8)
|
96% |
22994
273.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
22017
170.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53302
413.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
54571
423.2 IPS |
|
|
Style Transfer (F32)
|
100% |
71906
94.6 IPS |
|
|
Style Transfer (F16)
|
100% |
160024
210.5 IPS |
|
|
Style Transfer (I8)
|
100% |
160183
210.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10048
358.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
38378
1.37 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37829
1.35 KIPS |
|
|
Text Classification (F32)
|
100% |
2703
3.89 KIPS |
|
|
Text Classification (F16)
|
100% |
4590
6.60 KIPS |
|
|
Text Classification (I8)
|
96% |
4440
6.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1421
26.2 IPS |
