Mac17,2
Geekbench AI Score
5326
Single Precision Score
42102
Half Precision Score
59114
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 01:29 PM |
| Views | 2 |
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% |
2262
420.7 IPS |
|
|
Image Classification (HP)
|
100% |
18702
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
25309
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24407
395.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33922
549.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11201
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
178490
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
329231
385.9 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
18609
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27306
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
47176
560.6 IPS |
|
|
Face Detection (Q)
|
100% |
67597
803.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9154
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111902
862.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
187048
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27505
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272834
350.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373973
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63863
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102696
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6986
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
7371
9.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17962
309.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18863
326.0 IPS |
