Mac17,4
Geekbench AI Score
13280
Single Precision Score
23791
Half Precision Score
25268
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skinsfantn |
| Upload Date | March 11 2026 11:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6097
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10339
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10390
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9883
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14973
242.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16299
264.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36295
42.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
87949
102.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
117070
137.2 IPS |
|
|
Object Detection (SP)
|
100% |
6307
500.3 IPS |
|
|
Object Detection (HP)
|
100% |
11070
878.1 IPS |
|
|
Object Detection (Q)
|
94% |
11690
932.1 IPS |
|
|
Face Detection (SP)
|
100% |
18742
222.7 IPS |
|
|
Face Detection (HP)
|
100% |
34422
409.0 IPS |
|
|
Face Detection (Q)
|
100% |
33301
395.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27378
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50017
385.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
54720
427.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77081
99.1 IPS |
|
|
Style Transfer (HP)
|
100% |
161299
207.4 IPS |
|
|
Style Transfer (Q)
|
96% |
204366
263.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15138
559.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29270
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28245
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5692
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6909
119.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8511
146.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7647
132.1 IPS |
