MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5028
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 07:47 AM |
| Views | 5 |
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 | 4.03 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1433
268.2 IPS |
|
|
Image Classification (F16)
|
100% |
2268
424.5 IPS |
|
|
Image Classification (I8)
|
99% |
2273
425.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1186
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1567
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
15716
19.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
27206
32.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
26916
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
2451
183.0 IPS |
|
|
Object Detection (I8)
|
97% |
1782
133.0 IPS |
|
|
Face Detection (F32)
|
100% |
3857
45.9 IPS |
|
|
Face Detection (F16)
|
97% |
6311
75.0 IPS |
|
|
Face Detection (I8)
|
97% |
6328
75.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7235
56.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12857
99.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
13327
103.4 IPS |
|
|
Style Transfer (F32)
|
100% |
30687
40.4 IPS |
|
|
Style Transfer (F16)
|
100% |
43878
57.7 IPS |
|
|
Style Transfer (I8)
|
100% |
41468
54.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6013
214.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8025
286.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7740
276.4 IPS |
|
|
Text Classification (F32)
|
100% |
2522
3.62 KIPS |
|
|
Text Classification (F16)
|
100% |
4617
6.64 KIPS |
|
|
Text Classification (I8)
|
96% |
5168
7.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1152
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1832
33.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1145
21.1 IPS |
