MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3719
Single Precision Score
5217
Half Precision Score
4281
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | naricci |
| Upload Date | September 11 2024 07:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.5 IPS |
|
|
Image Classification (Q)
|
99% |
1931
360.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1357
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8174
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
16051
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13692
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
97% |
2399
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1849
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
4849
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6344
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9196
71.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4008
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19219
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28852
37.1 IPS |
|
|
Style Transfer (Q)
|
100% |
28917
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3975
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4634
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4619
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4757
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4780
82.6 IPS |
