Mac17,4
Geekbench AI Score
5541
Single Precision Score
8993
Half Precision Score
6973
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | djoneverett |
| Upload Date | April 07 2026 06:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2223
413.5 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.3 IPS |
|
|
Image Classification (Q)
|
94% |
2155
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3636
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9805
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19462
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16777
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (HP)
|
98% |
3906
310.8 IPS |
|
|
Object Detection (Q)
|
88% |
2695
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
5085
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
9130
108.5 IPS |
|
|
Face Detection (Q)
|
100% |
4995
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8781
67.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11724
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7864
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25479
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46211
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36910
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10320
381.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6417
236.9 IPS |
|
|
Text Classification (SP)
|
100% |
6090
8.13 KIPS |
|
|
Text Classification (HP)
|
100% |
10312
13.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9940
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5115
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8307
143.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8298
143.4 IPS |
