MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4890
Single Precision Score
28387
Half Precision Score
30581
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | October 30 2024 07:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.89 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1558
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
16102
2.99 KIPS |
|
|
Image Classification (Q)
|
99% |
16788
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16988
275.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
16998
275.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16668
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
117840
137.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
115882
135.9 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
16941
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
18964
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
24774
294.4 IPS |
|
|
Face Detection (Q)
|
100% |
39116
464.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7571
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86743
668.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
91342
706.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31640
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
165293
212.5 IPS |
|
|
Style Transfer (Q)
|
100% |
164794
211.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42403
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50533
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2737
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5322
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4756
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7764
133.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8062
139.3 IPS |
