Mac17,2
Geekbench AI Score
13209
Single Precision Score
24669
Half Precision Score
23594
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 11:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6343
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11026
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
10008
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10219
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16766
271.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17252
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39581
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103143
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
111482
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
6444
511.2 IPS |
|
|
Object Detection (HP)
|
100% |
11796
935.7 IPS |
|
|
Object Detection (Q)
|
93% |
10038
800.8 IPS |
|
|
Face Detection (SP)
|
100% |
18107
215.2 IPS |
|
|
Face Detection (HP)
|
100% |
33770
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
26522
315.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28851
222.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55911
430.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
52955
413.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81544
104.8 IPS |
|
|
Style Transfer (HP)
|
100% |
192678
247.7 IPS |
|
|
Style Transfer (Q)
|
96% |
212116
273.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16383
605.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32982
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30178
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6338
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5539
95.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5574
96.3 IPS |
