Mac17,3
Geekbench AI Score
13044
Single Precision Score
23905
Half Precision Score
25401
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 31 2026 04:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
5575
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
9895
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
10316
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8511
138.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13836
224.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14532
235.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
31491
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
83911
97.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104859
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
5894
467.5 IPS |
|
|
Object Detection (HP)
|
100% |
10339
820.1 IPS |
|
|
Object Detection (Q)
|
94% |
11115
886.3 IPS |
|
|
Face Detection (SP)
|
100% |
17968
213.5 IPS |
|
|
Face Detection (HP)
|
100% |
33001
392.1 IPS |
|
|
Face Detection (Q)
|
100% |
31441
373.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25630
197.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45843
353.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
48768
380.7 IPS |
|
|
Style Transfer (SP)
|
100% |
67241
86.4 IPS |
|
|
Style Transfer (HP)
|
100% |
146104
187.8 IPS |
|
|
Style Transfer (Q)
|
96% |
183044
236.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13728
506.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27159
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27231
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
6107
8.15 KIPS |
|
|
Text Classification (HP)
|
100% |
10105
13.5 KIPS |
|
|
Text Classification (Q)
|
93% |
10884
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
6240
107.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8458
145.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7695
133.0 IPS |
