Mac17,2
Geekbench AI Score
5338
Single Precision Score
43457
Half Precision Score
61950
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | oiskin |
| Upload Date | December 22 2025 10:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2236
415.8 IPS |
|
|
Image Classification (HP)
|
100% |
19353
3.60 KIPS |
|
|
Image Classification (Q)
|
97% |
27623
5.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24640
399.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33999
551.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11031
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
179245
209.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
336866
394.8 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18411
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27754
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4675
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
47904
569.2 IPS |
|
|
Face Detection (Q)
|
100% |
68691
816.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9069
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
114356
881.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
195129
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
27327
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
274977
353.5 IPS |
|
|
Style Transfer (Q)
|
96% |
378645
488.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67598
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
109507
4.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
8198
10.9 KIPS |
|
|
Text Classification (Q)
|
93% |
8799
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18288
315.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19391
335.1 IPS |
