Mac17,2
Geekbench AI Score
5318
Single Precision Score
41693
Half Precision Score
58173
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 03:53 PM |
| Views | 4 |
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% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
18906
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
25271
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23877
387.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33688
546.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10980
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178577
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
334773
392.4 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
18424
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27205
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47589
565.5 IPS |
|
|
Face Detection (Q)
|
100% |
68454
813.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9154
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110600
852.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
184988
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27465
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271099
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
373786
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62632
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99757
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6861
9.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6560
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5043
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17432
300.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18483
319.4 IPS |
