MacBook M2 Pro (16-inch, 2023) MacBook Pro (16-inch, 2023)
Geekbench AI Score
4239
Single Precision Score
6881
Half Precision Score
5450
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | narrathebest |
| Upload Date | September 07 2025 02:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2551
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2894
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12655
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26747
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20607
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1978
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6407
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11615
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8094
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26195
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40803
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32158
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6289
232.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4538
167.6 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7679
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6977
120.6 IPS |
