Mac17,9
Geekbench AI Score
5335
Single Precision Score
9321
Half Precision Score
7309
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | joanbrava |
| Upload Date | April 09 2026 08:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
3537
657.8 IPS |
|
|
Image Classification (Q)
|
94% |
2187
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4060
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9636
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19455
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16910
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
98% |
4239
337.3 IPS |
|
|
Object Detection (Q)
|
88% |
2886
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
9894
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
5255
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11933
92.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8342
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24807
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46361
59.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37178
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10608
391.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6252
230.8 IPS |
|
|
Text Classification (SP)
|
99% |
6024
8.04 KIPS |
|
|
Text Classification (HP)
|
99% |
10173
13.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10292
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9542
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9579
165.5 IPS |
