Mac17,9
Geekbench AI Score
5355
Single Precision Score
9132
Half Precision Score
7235
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
3127
581.6 IPS |
|
|
Image Classification (Q)
|
94% |
2120
396.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9842
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16892
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (HP)
|
98% |
4217
335.6 IPS |
|
|
Object Detection (Q)
|
88% |
2898
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
9796
116.4 IPS |
|
|
Face Detection (Q)
|
100% |
5232
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9156
70.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11733
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8386
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24842
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46085
59.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36920
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10543
389.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6264
231.3 IPS |
|
|
Text Classification (SP)
|
99% |
5800
7.74 KIPS |
|
|
Text Classification (HP)
|
100% |
9808
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9673
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9477
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9496
164.1 IPS |
