MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2545
Single Precision Score
16804
Half Precision Score
17811
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gouarfig |
| Upload Date | August 19 2024 09:45 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
7463
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
8306
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6625
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
103374
120.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
103528
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
9844
780.8 IPS |
|
|
Object Detection (Q)
|
93% |
10548
841.7 IPS |
|
|
Face Detection (SP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
13371
158.9 IPS |
|
|
Face Detection (Q)
|
100% |
15777
187.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4434
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58358
449.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
63235
488.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12217
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152923
196.6 IPS |
|
|
Style Transfer (Q)
|
100% |
153364
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3777
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21158
781.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26015
963.8 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4851
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4677
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2873
49.7 IPS |
