Mac17,2
Geekbench AI Score
5197
Single Precision Score
43462
Half Precision Score
60802
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 04:23 AM |
| Views | 7 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2226
413.9 IPS |
|
|
Image Classification (HP)
|
100% |
19431
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
26260
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24649
399.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34160
553.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10853
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
179012
208.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
337211
395.2 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
20183
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
28495
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
48063
571.1 IPS |
|
|
Face Detection (Q)
|
100% |
69071
820.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8890
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
114288
880.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
193489
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
26590
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
274563
353.0 IPS |
|
|
Style Transfer (Q)
|
96% |
377404
487.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66403
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104870
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
7678
10.2 KIPS |
|
|
Text Classification (Q)
|
93% |
7895
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18076
311.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19185
331.5 IPS |
