Mac17,2
Geekbench AI Score
5328
Single Precision Score
42488
Half Precision Score
59523
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 07:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
19166
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
25880
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24537
397.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33895
549.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10925
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
176225
205.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333594
391.0 IPS |
|
|
Object Detection (SP)
|
100% |
2708
214.8 IPS |
|
|
Object Detection (HP)
|
100% |
18644
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27308
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47448
563.8 IPS |
|
|
Face Detection (Q)
|
100% |
68729
816.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9189
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112045
863.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
194240
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
27103
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
272030
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
374052
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64168
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102958
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
7292
9.73 KIPS |
|
|
Text Classification (Q)
|
93% |
7322
9.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5097
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18338
315.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18559
320.7 IPS |
