MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
12372
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:18 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 4.04 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5878
1.10 KIPS |
|
|
Image Classification (F16)
|
100% |
6026
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6116
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2884
48.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3260
54.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3259
54.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
61031
73.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
106933
129.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
107316
130.0 IPS |
|
|
Object Detection (F32)
|
100% |
3489
260.5 IPS |
|
|
Object Detection (F16)
|
100% |
4654
347.5 IPS |
|
|
Object Detection (I8)
|
97% |
3759
280.6 IPS |
|
|
Face Detection (F32)
|
100% |
20135
239.4 IPS |
|
|
Face Detection (F16)
|
97% |
22416
266.5 IPS |
|
|
Face Detection (I8)
|
96% |
22376
266.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
29952
232.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
46061
357.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
47904
371.5 IPS |
|
|
Style Transfer (F32)
|
100% |
123819
162.9 IPS |
|
|
Style Transfer (F16)
|
100% |
149528
196.7 IPS |
|
|
Style Transfer (I8)
|
100% |
152786
201.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9124
325.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32440
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
26134
933.3 IPS |
|
|
Text Classification (F32)
|
100% |
2433
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
4224
6.07 KIPS |
|
|
Text Classification (I8)
|
96% |
4389
6.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1233
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1978
36.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
