MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3948
Single Precision Score
5570
Half Precision Score
4661
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tha1isson |
| Upload Date | August 26 2024 06:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
2117
393.7 IPS |
|
|
Image Classification (Q)
|
99% |
2127
396.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8574
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16998
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14503
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
2575
205.0 IPS |
|
|
Object Detection (Q)
|
94% |
1964
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
5148
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3436
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6736
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9630
74.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5068
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21517
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31512
40.5 IPS |
|
|
Style Transfer (Q)
|
100% |
31459
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4303
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4546
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4821
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4842
83.7 IPS |
