Mac17,2
Geekbench AI Score
5334
Single Precision Score
41369
Half Precision Score
58330
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 04:37 AM |
| Views | 45 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
18417
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
25864
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24047
389.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33197
538.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11141
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
176947
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
329903
386.7 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
17813
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26585
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
47245
561.4 IPS |
|
|
Face Detection (Q)
|
100% |
66479
789.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111840
861.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
191279
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270067
347.2 IPS |
|
|
Style Transfer (Q)
|
96% |
374716
483.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63834
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101575
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6518
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6731
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17716
305.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18587
321.2 IPS |
