MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3816
Single Precision Score
5343
Half Precision Score
4403
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | krofa |
| Upload Date | October 21 2024 09:13 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (Q)
|
99% |
1989
371.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1397
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8575
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16805
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14290
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
97% |
2551
203.1 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
4969
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
3298
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9623
74.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4368
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19138
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29627
38.1 IPS |
|
|
Style Transfer (Q)
|
100% |
28831
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4124
152.8 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4572
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4578
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4666
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4574
79.1 IPS |
