MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9319
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 01 2024 11:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.05 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6355
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6626
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
5962
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3025
50.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2974
49.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2956
49.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
62119
75.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
65027
78.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
63395
76.8 IPS |
|
|
Object Detection (F32)
|
100% |
3328
248.4 IPS |
|
|
Object Detection (F16)
|
100% |
5071
378.6 IPS |
|
|
Object Detection (I8)
|
97% |
4155
310.2 IPS |
|
|
Face Detection (F32)
|
100% |
21491
255.5 IPS |
|
|
Face Detection (F16)
|
98% |
22695
269.8 IPS |
|
|
Face Detection (I8)
|
97% |
22544
268.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
30603
237.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
32506
252.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
31048
240.8 IPS |
|
|
Style Transfer (F32)
|
100% |
132033
173.7 IPS |
|
|
Style Transfer (F16)
|
100% |
138207
181.8 IPS |
|
|
Style Transfer (I8)
|
100% |
139206
183.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13641
487.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14153
505.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10714
382.6 IPS |
|
|
Text Classification (F32)
|
100% |
633
910.1 IPS |
|
|
Text Classification (F16)
|
100% |
719
1.03 KIPS |
|
|
Text Classification (I8)
|
96% |
832
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1178
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1132
20.8 IPS |
