Mac17,3
Geekbench AI Score
5560
Single Precision Score
9027
Half Precision Score
7010
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | RiNKyDiNKs |
| Upload Date | April 01 2026 04:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| 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% |
2271
422.3 IPS |
|
|
Image Classification (HP)
|
100% |
3788
704.5 IPS |
|
|
Image Classification (Q)
|
94% |
2228
416.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9806
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19464
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16773
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
98% |
3924
312.3 IPS |
|
|
Object Detection (Q)
|
88% |
2732
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
9235
109.7 IPS |
|
|
Face Detection (Q)
|
100% |
4997
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8771
67.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11531
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7981
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25489
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46201
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37001
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10319
381.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6251
230.8 IPS |
|
|
Text Classification (SP)
|
100% |
6112
8.16 KIPS |
|
|
Text Classification (HP)
|
99% |
10490
14.0 KIPS |
|
|
Text Classification (Q)
|
92% |
10095
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8346
143.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8325
143.9 IPS |
