MacBook Pro (16-inch, 2023)
Geekbench AI Score
12604
Single Precision Score
13803
Half Precision Score
11899
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jimmydai666 |
| Upload Date | March 07 2026 02:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5384
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5437
1.01 KIPS |
|
|
Image Classification (Q)
|
94% |
5259
982.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9436
153.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9372
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8881
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45017
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48864
57.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47247
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
5067
401.9 IPS |
|
|
Object Detection (HP)
|
100% |
5074
402.5 IPS |
|
|
Object Detection (Q)
|
91% |
4769
381.2 IPS |
|
|
Face Detection (SP)
|
100% |
19273
229.0 IPS |
|
|
Face Detection (HP)
|
100% |
20406
242.5 IPS |
|
|
Face Detection (Q)
|
100% |
18491
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26003
200.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27584
212.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
25246
197.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79071
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86795
111.6 IPS |
|
|
Style Transfer (Q)
|
96% |
84379
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17471
645.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18477
682.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16108
594.8 IPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4152
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2053
35.5 IPS |
