Mac17,3
Geekbench AI Score
13441
Single Precision Score
24186
Half Precision Score
25372
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 03:38 AM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6114
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10409
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
10486
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9986
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15304
248.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16502
267.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37300
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89509
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
117469
137.7 IPS |
|
|
Object Detection (SP)
|
100% |
6356
504.2 IPS |
|
|
Object Detection (HP)
|
100% |
11179
886.7 IPS |
|
|
Object Detection (Q)
|
94% |
11724
934.8 IPS |
|
|
Face Detection (SP)
|
100% |
19040
226.2 IPS |
|
|
Face Detection (HP)
|
100% |
34973
415.6 IPS |
|
|
Face Detection (Q)
|
100% |
33500
398.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27609
212.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52171
401.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
55180
430.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77962
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
163319
209.9 IPS |
|
|
Style Transfer (Q)
|
96% |
206320
266.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15341
566.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29866
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28436
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6994
120.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8610
148.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7697
133.0 IPS |
