MacBook Pro (16-inch, 2023)
Geekbench AI Score
4039
Single Precision Score
27905
Half Precision Score
31123
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 07:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
15415
2.87 KIPS |
|
|
Image Classification (Q)
|
96% |
18346
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19847
321.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24968
404.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11876
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106522
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105821
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (HP)
|
99% |
16191
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17526
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
36271
431.0 IPS |
|
|
Face Detection (Q)
|
100% |
46433
551.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5921
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88368
680.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111347
870.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24986
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203498
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193104
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45556
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52621
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4299
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4300
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4444
76.8 IPS |
