Mac17,2
Geekbench AI Score
9266
Single Precision Score
17733
Half Precision Score
16327
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 09:13 AM |
| Views | 2 |
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 | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6199
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10398
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9761
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10041
162.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16586
268.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12209
197.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23184
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
57879
67.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64128
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
3786
300.3 IPS |
|
|
Object Detection (HP)
|
100% |
7054
559.5 IPS |
|
|
Object Detection (Q)
|
93% |
5912
471.7 IPS |
|
|
Face Detection (SP)
|
100% |
10091
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
22020
261.6 IPS |
|
|
Face Detection (Q)
|
100% |
14859
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16580
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32133
247.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
31101
242.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48691
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118750
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
133186
171.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9759
360.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20979
774.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19252
710.9 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4465
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4525
78.2 IPS |
