Mac17,2
Geekbench AI Score
13705
Single Precision Score
25689
Half Precision Score
24441
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ace847593 |
| Upload Date | January 02 2026 09:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6353
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11120
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9851
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10261
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16781
272.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17315
280.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39680
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103920
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
111838
131.1 IPS |
|
|
Object Detection (SP)
|
100% |
6489
514.7 IPS |
|
|
Object Detection (HP)
|
100% |
11811
936.9 IPS |
|
|
Object Detection (Q)
|
93% |
10020
799.4 IPS |
|
|
Face Detection (SP)
|
100% |
18805
223.4 IPS |
|
|
Face Detection (HP)
|
100% |
34281
407.3 IPS |
|
|
Face Detection (Q)
|
100% |
26900
319.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28750
221.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56642
436.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
53388
416.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81472
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
190486
244.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210889
272.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16234
599.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33386
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30081
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6352
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7933
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7927
137.0 IPS |
