Mac17,2
Geekbench AI Score
13266
Single Precision Score
24479
Half Precision Score
23352
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 31 2025 06:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5866
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
10110
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8674
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10171
164.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16693
270.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17378
281.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39551
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102894
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
110858
129.9 IPS |
|
|
Object Detection (SP)
|
100% |
6435
510.5 IPS |
|
|
Object Detection (HP)
|
100% |
11542
915.5 IPS |
|
|
Object Detection (Q)
|
92% |
10021
800.2 IPS |
|
|
Face Detection (SP)
|
100% |
19118
227.2 IPS |
|
|
Face Detection (HP)
|
100% |
36601
434.9 IPS |
|
|
Face Detection (Q)
|
100% |
28075
333.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28387
218.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56847
438.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52960
413.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81009
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188332
242.1 IPS |
|
|
Style Transfer (Q)
|
96% |
206720
266.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15768
582.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29775
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28367
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5338
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6142
106.1 IPS |
