Mac17,2
Geekbench AI Score
5336
Single Precision Score
41482
Half Precision Score
57613
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:23 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
18466
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24058
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23854
386.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32379
524.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11322
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176512
206.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
333089
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
18647
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27438
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46889
557.1 IPS |
|
|
Face Detection (Q)
|
100% |
65963
783.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9143
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110827
853.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180445
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27525
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271387
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
373137
481.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64260
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101429
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6787
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4996
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17673
304.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18513
319.9 IPS |
