Mac17,2
Geekbench AI Score
13897
Single Precision Score
26245
Half Precision Score
26424
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | sin027 |
| Upload Date | February 20 2026 05:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
6334
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11055
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
10753
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10269
166.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17147
278.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17139
277.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39623
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103235
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
130276
152.7 IPS |
|
|
Object Detection (SP)
|
100% |
6526
517.7 IPS |
|
|
Object Detection (HP)
|
100% |
12116
961.0 IPS |
|
|
Object Detection (Q)
|
94% |
11796
940.5 IPS |
|
|
Face Detection (SP)
|
100% |
19429
230.9 IPS |
|
|
Face Detection (HP)
|
100% |
36841
437.7 IPS |
|
|
Face Detection (Q)
|
100% |
34230
406.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28721
221.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57579
443.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
57221
446.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81773
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188757
242.6 IPS |
|
|
Style Transfer (Q)
|
96% |
223928
289.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16035
592.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32892
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30480
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
7158
123.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8887
153.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7934
137.1 IPS |
