Mac17,2
Geekbench AI Score
5332
Single Precision Score
40823
Half Precision Score
57239
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | October 26 2025 03:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2296
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
17412
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24544
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24118
391.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33547
543.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11005
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177266
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333240
390.6 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
18744
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26992
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4860
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
47399
563.2 IPS |
|
|
Face Detection (Q)
|
100% |
67260
799.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9245
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111692
860.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
186187
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27608
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
270669
347.9 IPS |
|
|
Style Transfer (Q)
|
96% |
371051
478.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5933
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65933
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98879
3.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5658
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6217
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17237
296.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17846
308.4 IPS |
