MacBook Pro (16-inch, 2023)
Geekbench AI Score
4038
Single Precision Score
6552
Half Precision Score
5226
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | March 05 2025 07:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 3.32 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1598
298.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12549
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24766
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19017
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
97% |
2624
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3263
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6046
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10988
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7783
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25149
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38810
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30546
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6592
243.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7162
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7156
123.7 IPS |
