MacBook Pro (16-inch, 2023)
Geekbench AI Score
11911
Single Precision Score
13018
Half Precision Score
11870
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Swiftty |
| Upload Date | September 14 2025 05:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
5294
984.5 IPS |
|
|
Image Classification (HP)
|
100% |
5454
1.01 KIPS |
|
|
Image Classification (Q)
|
96% |
5035
940.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9094
147.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9259
150.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8708
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44919
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48804
56.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47132
55.2 IPS |
|
|
Object Detection (SP)
|
100% |
5013
397.6 IPS |
|
|
Object Detection (HP)
|
100% |
5039
399.7 IPS |
|
|
Object Detection (Q)
|
92% |
4665
372.4 IPS |
|
|
Face Detection (SP)
|
100% |
18205
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
19592
232.8 IPS |
|
|
Face Detection (Q)
|
100% |
15509
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25967
200.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27016
208.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
24854
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79714
102.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86645
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
84585
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17437
643.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18600
686.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16291
601.6 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3202
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2650
45.8 IPS |
