Mac17,2
Geekbench AI Score
13251
Single Precision Score
24890
Half Precision Score
23664
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 11:12 PM |
| Views | 3 |
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% |
6342
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11231
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
9824
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10233
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16778
272.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17198
278.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39666
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103827
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
111863
131.1 IPS |
|
|
Object Detection (SP)
|
100% |
6478
513.8 IPS |
|
|
Object Detection (HP)
|
100% |
11955
948.2 IPS |
|
|
Object Detection (Q)
|
93% |
10023
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
18669
221.8 IPS |
|
|
Face Detection (HP)
|
100% |
34128
405.5 IPS |
|
|
Face Detection (Q)
|
100% |
27146
322.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28513
219.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56633
436.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
52922
413.2 IPS |
|
|
Style Transfer (SP)
|
100% |
82231
105.7 IPS |
|
|
Style Transfer (HP)
|
100% |
192220
247.1 IPS |
|
|
Style Transfer (Q)
|
96% |
212152
273.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16305
602.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32995
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30584
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5748
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5627
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6331
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5538
95.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5543
95.8 IPS |
