MacBook Pro (16-inch, 2023)
Geekbench AI Score
4091
Single Precision Score
6896
Half Precision Score
5528
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jimmydai666 |
| Upload Date | March 07 2026 02:11 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1649
308.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2917
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11878
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26599
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20511
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6123
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11705
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25505
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40804
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32117
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6375
235.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4561
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7791
134.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7678
132.7 IPS |
