MacBook Pro M5 Mac17,2
Geekbench AI Score
13290
Single Precision Score
24735
Half Precision Score
23690
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TechHut |
| Upload Date | October 28 2025 08:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6337
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
10907
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
9924
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10239
166.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16800
272.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17317
280.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39616
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103455
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
111338
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6458
512.3 IPS |
|
|
Object Detection (HP)
|
100% |
11941
947.1 IPS |
|
|
Object Detection (Q)
|
93% |
9987
796.7 IPS |
|
|
Face Detection (SP)
|
100% |
18428
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
34048
404.6 IPS |
|
|
Face Detection (Q)
|
100% |
26671
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28586
220.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55653
428.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
52943
413.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81618
104.9 IPS |
|
|
Style Transfer (HP)
|
100% |
190933
245.4 IPS |
|
|
Style Transfer (Q)
|
96% |
211581
273.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16548
611.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33191
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31124
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5700
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5650
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6360
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5535
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5547
95.9 IPS |
