Mac17,2
Geekbench AI Score
13270
Single Precision Score
24802
Half Precision Score
23600
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 09:32 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6297
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11115
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9969
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10209
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16810
272.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17254
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39528
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103203
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
111699
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (HP)
|
100% |
11770
933.6 IPS |
|
|
Object Detection (Q)
|
93% |
10165
810.9 IPS |
|
|
Face Detection (SP)
|
100% |
18427
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
33931
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
26316
312.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28890
222.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55604
428.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
53006
413.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81850
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
192531
247.5 IPS |
|
|
Style Transfer (Q)
|
96% |
214370
276.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17083
630.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33479
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30179
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5441
93.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5439
94.0 IPS |
