Mac17,2
Geekbench AI Score
5448
Single Precision Score
8849
Half Precision Score
6926
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | m5nikki |
| Upload Date | March 06 2026 10:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2214
411.8 IPS |
|
|
Image Classification (HP)
|
100% |
3665
681.7 IPS |
|
|
Image Classification (Q)
|
94% |
2238
418.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3925
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9571
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19136
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16558
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
98% |
3752
298.6 IPS |
|
|
Object Detection (Q)
|
88% |
2594
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8708
103.5 IPS |
|
|
Face Detection (Q)
|
100% |
4982
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8659
66.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11381
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7879
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24925
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45862
59.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36731
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10620
392.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6245
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
5812
7.76 KIPS |
|
|
Text Classification (HP)
|
99% |
9417
12.6 KIPS |
|
|
Text Classification (Q)
|
93% |
9194
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4915
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8169
140.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8136
140.6 IPS |
