Mac17,3
Geekbench AI Score
12274
Single Precision Score
22781
Half Precision Score
23600
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 03:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5599
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
9820
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
10246
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8537
138.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13997
226.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14128
229.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31499
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85988
100.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105354
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
5880
466.4 IPS |
|
|
Object Detection (HP)
|
100% |
10333
819.6 IPS |
|
|
Object Detection (Q)
|
94% |
10983
875.7 IPS |
|
|
Face Detection (SP)
|
100% |
17838
212.0 IPS |
|
|
Face Detection (HP)
|
100% |
33266
395.3 IPS |
|
|
Face Detection (Q)
|
100% |
31152
370.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25760
198.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46820
360.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
48320
377.2 IPS |
|
|
Style Transfer (SP)
|
100% |
67021
86.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150369
193.3 IPS |
|
|
Style Transfer (Q)
|
96% |
183695
237.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13654
504.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27665
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26863
991.9 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6850
118.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8587
147.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7814
135.0 IPS |
