Mac17,2
Geekbench AI Score
13607
Single Precision Score
25429
Half Precision Score
24414
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ashtonraethel |
| Upload Date | February 08 2026 10:29 AM |
| Views | 4 |
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% |
6260
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
11066
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9842
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10222
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16687
270.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17269
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39497
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103134
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
111378
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6451
511.7 IPS |
|
|
Object Detection (HP)
|
100% |
11739
931.1 IPS |
|
|
Object Detection (Q)
|
93% |
10016
799.0 IPS |
|
|
Face Detection (SP)
|
100% |
18347
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
34087
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
26448
314.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28527
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55676
428.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
53084
414.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81605
104.9 IPS |
|
|
Style Transfer (HP)
|
100% |
190396
244.8 IPS |
|
|
Style Transfer (Q)
|
96% |
210265
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16210
598.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33047
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30347
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6309
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7896
136.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7909
136.7 IPS |
