Mac17,9
Geekbench AI Score
5384
Single Precision Score
9279
Half Precision Score
7273
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:50 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% |
2329
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
3281
610.1 IPS |
|
|
Image Classification (Q)
|
94% |
2128
397.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4057
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9631
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19567
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16942
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2902
230.2 IPS |
|
|
Object Detection (HP)
|
98% |
4316
343.4 IPS |
|
|
Object Detection (Q)
|
88% |
2852
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
5502
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
9898
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
5214
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12076
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8319
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24968
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46287
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37198
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10531
388.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6287
232.1 IPS |
|
|
Text Classification (SP)
|
99% |
6133
8.19 KIPS |
|
|
Text Classification (HP)
|
100% |
10069
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10313
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9664
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9490
164.0 IPS |
