Mac17,4
Geekbench AI Score
5505
Single Precision Score
42207
Half Precision Score
59262
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | April 09 2026 02:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| 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% |
2179
405.2 IPS |
|
|
Image Classification (HP)
|
100% |
19124
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
28014
5.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24466
396.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34111
553.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
176999
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
333749
391.2 IPS |
|
|
Object Detection (SP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
19234
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
27717
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
49252
585.2 IPS |
|
|
Face Detection (Q)
|
100% |
76900
913.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8787
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110412
850.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
191889
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
25299
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
274306
352.6 IPS |
|
|
Style Transfer (Q)
|
96% |
345070
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62343
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98131
3.62 KIPS |
|
|
Text Classification (SP)
|
99% |
5831
7.78 KIPS |
|
|
Text Classification (HP)
|
100% |
6756
9.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6464
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5211
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17928
308.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18714
323.4 IPS |
