Mac17,9
Geekbench AI Score
5335
Single Precision Score
47812
Half Precision Score
64579
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | NiFa18 |
| Upload Date | April 06 2026 11:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (HP)
|
100% |
21326
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
26308
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26100
423.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
38326
621.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9650
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
183548
214.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
338461
396.7 IPS |
|
|
Object Detection (SP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (HP)
|
100% |
23646
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
29150
2.33 KIPS |
|
|
Face Detection (SP)
|
100% |
5536
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
51406
610.8 IPS |
|
|
Face Detection (Q)
|
100% |
78088
927.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
141098
1.09 KIPS |
|
|
Depth Estimation (Q)
|
85% |
217670
1.70 KIPS |
|
|
Style Transfer (SP)
|
100% |
24929
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
289826
372.6 IPS |
|
|
Style Transfer (Q)
|
96% |
367440
474.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67369
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105763
3.91 KIPS |
|
|
Text Classification (SP)
|
100% |
5779
7.71 KIPS |
|
|
Text Classification (HP)
|
99% |
9757
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9921
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18703
322.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19353
334.4 IPS |
