MacBook Pro (16-inch, 2023)
Geekbench AI Score
9529
Single Precision Score
9140
Half Precision Score
2777
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mchus |
| Upload Date | November 15 2024 12:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5116
951.5 IPS |
|
|
Image Classification (HP)
|
100% |
5010
931.6 IPS |
|
|
Image Classification (Q)
|
99% |
3646
680.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7866
127.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7894
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7362
119.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
44530
52.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
46798
54.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
41276
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
4780
379.2 IPS |
|
|
Object Detection (HP)
|
100% |
4753
377.0 IPS |
|
|
Object Detection (Q)
|
91% |
3718
297.0 IPS |
|
|
Face Detection (SP)
|
100% |
17043
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
17341
206.0 IPS |
|
|
Face Detection (Q)
|
100% |
10965
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25050
193.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26053
200.7 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78990
101.5 IPS |
|
|
Style Transfer (HP)
|
100% |
84174
108.2 IPS |
|
|
Style Transfer (Q)
|
96% |
76248
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17417
643.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18238
673.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13088
483.3 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
629
839.3 IPS |
|
|
Text Classification (Q)
|
93% |
576
772.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
