Mac17,2
Geekbench AI Score
13182
Single Precision Score
24757
Half Precision Score
23833
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 08:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5340
993.0 IPS |
|
|
Image Classification (HP)
|
100% |
10187
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9365
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10026
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16623
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16917
274.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37973
44.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
102648
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
110415
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
6412
508.6 IPS |
|
|
Object Detection (HP)
|
100% |
11291
895.6 IPS |
|
|
Object Detection (Q)
|
93% |
9947
793.5 IPS |
|
|
Face Detection (SP)
|
100% |
18019
214.1 IPS |
|
|
Face Detection (HP)
|
100% |
33608
399.3 IPS |
|
|
Face Detection (Q)
|
100% |
25600
304.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28315
218.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55595
428.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51392
401.3 IPS |
|
|
Style Transfer (SP)
|
100% |
80463
103.4 IPS |
|
|
Style Transfer (HP)
|
100% |
189325
243.4 IPS |
|
|
Style Transfer (Q)
|
96% |
209710
270.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16447
607.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30496
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29901
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7464
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7488
129.4 IPS |
