Mac17,2
Geekbench AI Score
13190
Single Precision Score
24204
Half Precision Score
23268
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 11:08 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
5830
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9811
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
8740
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10199
165.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16597
269.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17241
279.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
39600
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102978
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
110840
129.9 IPS |
|
|
Object Detection (SP)
|
100% |
6378
505.9 IPS |
|
|
Object Detection (HP)
|
100% |
11389
903.4 IPS |
|
|
Object Detection (Q)
|
93% |
9895
789.4 IPS |
|
|
Face Detection (SP)
|
100% |
18518
220.0 IPS |
|
|
Face Detection (HP)
|
100% |
33867
402.4 IPS |
|
|
Face Detection (Q)
|
100% |
26957
320.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28285
217.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55246
425.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
52598
410.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81983
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
188352
242.1 IPS |
|
|
Style Transfer (Q)
|
96% |
208224
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15881
586.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30744
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29022
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6263
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6272
108.4 IPS |
