MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11214
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 07:48 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6386
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6748
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6454
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2798
46.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2777
46.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2815
47.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
61693
74.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
59805
72.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
65816
79.7 IPS |
|
|
Object Detection (F32)
|
100% |
4436
331.1 IPS |
|
|
Object Detection (F16)
|
100% |
4907
366.4 IPS |
|
|
Object Detection (I8)
|
97% |
3681
274.8 IPS |
|
|
Face Detection (F32)
|
100% |
20927
248.8 IPS |
|
|
Face Detection (F16)
|
98% |
22972
273.1 IPS |
|
|
Face Detection (I8)
|
97% |
22682
269.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25759
199.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
31791
246.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
29296
227.2 IPS |
|
|
Style Transfer (F32)
|
100% |
134968
177.5 IPS |
|
|
Style Transfer (F16)
|
100% |
146091
192.2 IPS |
|
|
Style Transfer (I8)
|
100% |
123733
162.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14191
506.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19844
708.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9861
352.2 IPS |
|
|
Text Classification (F32)
|
100% |
2577
3.70 KIPS |
|
|
Text Classification (F16)
|
100% |
4421
6.35 KIPS |
|
|
Text Classification (I8)
|
96% |
5010
7.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1156
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1210
22.3 IPS |
