MacBook Pro (16-inch, 2023)
Geekbench AI Score
11181
Single Precision Score
12221
Half Precision Score
11379
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | narrathebest |
| Upload Date | September 07 2025 02:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5276
981.2 IPS |
|
|
Image Classification (HP)
|
100% |
5310
987.6 IPS |
|
|
Image Classification (Q)
|
96% |
4882
911.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9266
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9178
148.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8733
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45156
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48831
57.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47229
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
4887
387.6 IPS |
|
|
Object Detection (HP)
|
100% |
4978
394.9 IPS |
|
|
Object Detection (Q)
|
92% |
4627
369.3 IPS |
|
|
Face Detection (SP)
|
100% |
18160
215.8 IPS |
|
|
Face Detection (HP)
|
100% |
19536
232.1 IPS |
|
|
Face Detection (Q)
|
100% |
17036
202.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25670
197.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26709
205.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
24462
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79589
102.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86950
111.8 IPS |
|
|
Style Transfer (Q)
|
96% |
84298
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16955
626.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18427
680.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15602
576.1 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3952
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1768
30.5 IPS |
