Mac17,2
Geekbench AI Score
13877
Single Precision Score
26148
Half Precision Score
26364
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | February 24 2026 12:42 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6331
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11268
2.10 KIPS |
|
|
Image Classification (Q)
|
99% |
10755
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10260
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17129
277.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17015
275.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39630
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103270
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
130548
153.0 IPS |
|
|
Object Detection (SP)
|
100% |
6508
516.3 IPS |
|
|
Object Detection (HP)
|
100% |
12068
957.3 IPS |
|
|
Object Detection (Q)
|
94% |
11808
941.5 IPS |
|
|
Face Detection (SP)
|
100% |
19277
229.1 IPS |
|
|
Face Detection (HP)
|
100% |
36873
438.1 IPS |
|
|
Face Detection (Q)
|
100% |
34146
405.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28686
221.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56841
437.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
56925
444.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81370
104.6 IPS |
|
|
Style Transfer (HP)
|
100% |
189027
243.0 IPS |
|
|
Style Transfer (Q)
|
96% |
224254
289.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16096
594.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32718
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30571
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5568
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
7126
122.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8659
149.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7753
134.0 IPS |
