Mac17,2
Geekbench AI Score
5308
Single Precision Score
41696
Half Precision Score
58172
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 06:35 AM |
| Views | 23 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
18349
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
24157
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24480
396.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33619
545.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10995
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177198
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
331123
388.1 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
18391
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27791
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4902
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
46983
558.3 IPS |
|
|
Face Detection (Q)
|
100% |
67747
805.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9150
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110889
854.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
182768
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27594
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271964
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
375952
485.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65058
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101047
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
6624
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6618
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4789
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17774
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19077
329.7 IPS |
