Mac17,2
Geekbench AI Score
13595
Single Precision Score
25378
Half Precision Score
24383
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 01:58 AM |
| Views | 3 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6298
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10694
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
9896
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10184
165.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16699
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17263
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39501
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102854
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
111602
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6449
511.5 IPS |
|
|
Object Detection (HP)
|
100% |
11684
926.8 IPS |
|
|
Object Detection (Q)
|
93% |
10052
801.9 IPS |
|
|
Face Detection (SP)
|
100% |
18183
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
33688
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
26411
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28556
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55496
427.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
53127
414.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81901
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
190356
244.7 IPS |
|
|
Style Transfer (Q)
|
96% |
209923
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16255
600.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33135
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30097
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6255
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7863
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7821
135.2 IPS |
