Mac17,2
Geekbench AI Score
5287
Single Precision Score
42687
Half Precision Score
59691
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 01:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2251
418.6 IPS |
|
|
Image Classification (HP)
|
100% |
18717
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
25479
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24123
391.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33975
550.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11221
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177782
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
334006
391.5 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
19248
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27520
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47154
560.3 IPS |
|
|
Face Detection (Q)
|
100% |
67872
806.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112431
866.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
188637
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27322
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
272369
350.1 IPS |
|
|
Style Transfer (Q)
|
96% |
372488
480.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66925
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105745
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7381
9.85 KIPS |
|
|
Text Classification (Q)
|
93% |
7562
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18229
314.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18926
327.1 IPS |
