MacBook Pro (16-inch, 2023)
Geekbench AI Score
4115
Single Precision Score
6575
Half Precision Score
5329
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Swiftty |
| Upload Date | September 14 2025 05:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.1 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2863
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12749
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25502
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19739
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.4 IPS |
|
|
Object Detection (HP)
|
97% |
2662
211.9 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3300
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6223
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11216
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7826
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24929
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38734
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29701
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4523
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6302
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7048
121.8 IPS |
