MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10929
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 08:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6792
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6406
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6549
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3131
52.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2561
42.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2563
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
84383
102.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
89490
108.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
92792
112.4 IPS |
|
|
Object Detection (F32)
|
100% |
5119
382.2 IPS |
|
|
Object Detection (F16)
|
100% |
4229
315.7 IPS |
|
|
Object Detection (I8)
|
97% |
5061
377.9 IPS |
|
|
Face Detection (F32)
|
100% |
24520
291.6 IPS |
|
|
Face Detection (F16)
|
97% |
12090
143.8 IPS |
|
|
Face Detection (I8)
|
96% |
12095
143.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
35810
277.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
36294
281.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
36132
280.2 IPS |
|
|
Style Transfer (F32)
|
100% |
152659
200.8 IPS |
|
|
Style Transfer (F16)
|
100% |
140191
184.4 IPS |
|
|
Style Transfer (I8)
|
100% |
139914
184.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10149
362.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16932
604.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16973
606.2 IPS |
|
|
Text Classification (F32)
|
100% |
832
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2459
3.53 KIPS |
|
|
Text Classification (I8)
|
96% |
2637
3.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3411
62.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1056
19.4 IPS |
