MacBook Pro (16-inch, 2023)
Geekbench AI Score
4112
Single Precision Score
6856
Half Precision Score
5522
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ErikSoundDesign |
| Upload Date | January 26 2026 12:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2893
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11961
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26511
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20708
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
97% |
2751
219.0 IPS |
|
|
Object Detection (Q)
|
94% |
2025
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
3635
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6190
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11724
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8134
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25382
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40568
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32141
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6475
239.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4567
168.6 IPS |
|
|
Text Classification (SP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7749
133.9 IPS |
