Mac17,2 (MBP 14, M5) Mac17,2
Geekbench AI Score
13217
Single Precision Score
24611
Half Precision Score
23579
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | October 19 2025 05:02 AM |
| Views | 14 |
| Notes | MBP 14, M5 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6236
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
10833
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
9922
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10267
166.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16856
273.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17307
280.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39579
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103228
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
111019
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (HP)
|
100% |
11860
940.7 IPS |
|
|
Object Detection (Q)
|
93% |
10160
810.5 IPS |
|
|
Face Detection (SP)
|
100% |
18473
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
34239
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
26654
316.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28655
220.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56078
432.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
53234
415.6 IPS |
|
|
Style Transfer (SP)
|
100% |
81896
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
190667
245.1 IPS |
|
|
Style Transfer (Q)
|
96% |
212639
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16408
605.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33227
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30559
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5358
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5556
95.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5553
96.0 IPS |
