MacBook Pro (16-inch, 2023)
Geekbench AI Score
3993
Single Precision Score
6823
Half Precision Score
5450
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (Q)
|
96% |
1651
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2883
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11738
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26151
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
20384
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2617
208.3 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
5866
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3378
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11160
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7883
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24904
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40133
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31382
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6709
247.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4473
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7419
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7896
136.4 IPS |
