Mac17,2
Geekbench AI Score
5613
Single Precision Score
8991
Half Precision Score
7036
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 26 2026 10:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.7 IPS |
|
|
Image Classification (Q)
|
94% |
2099
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9956
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19477
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16780
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2706
214.7 IPS |
|
|
Object Detection (HP)
|
98% |
4021
320.0 IPS |
|
|
Object Detection (Q)
|
88% |
2677
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
5139
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
9220
109.6 IPS |
|
|
Face Detection (Q)
|
100% |
5026
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11510
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7939
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25481
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46327
59.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37051
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10624
392.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6308
232.9 IPS |
|
|
Text Classification (SP)
|
99% |
5950
7.94 KIPS |
|
|
Text Classification (HP)
|
99% |
10003
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10303
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5102
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8337
143.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8273
143.0 IPS |
