MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4764
Single Precision Score
7312
Half Precision Score
5967
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Risto3 |
| Upload Date | April 19 2025 05:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1528
284.1 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.7 IPS |
|
|
Image Classification (Q)
|
96% |
1821
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16254
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28264
33.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21762
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (HP)
|
97% |
2792
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6363
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3810
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12724
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8861
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30317
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41472
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33493
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7887
291.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5126
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4853
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4822
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6559
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7413
128.1 IPS |
