Mac17,9
Geekbench AI Score
5034
Single Precision Score
8783
Half Precision Score
7005
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jeff1959w |
| Upload Date | March 19 2026 11:36 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2378
442.3 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.2 IPS |
|
|
Image Classification (Q)
|
96% |
2525
471.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3654
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10879
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20852
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17924
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2812
223.0 IPS |
|
|
Object Detection (HP)
|
97% |
4245
337.9 IPS |
|
|
Object Detection (Q)
|
94% |
2993
238.5 IPS |
|
|
Face Detection (SP)
|
100% |
5130
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
8718
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
4895
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9380
72.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15678
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10831
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27256
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41693
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34242
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
10163
175.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10093
174.4 IPS |
