Mac17,2
Geekbench AI Score
14801
Single Precision Score
27738
Half Precision Score
28236
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 26 2026 10:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
6283
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10884
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
11332
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10256
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17222
279.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17151
278.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39573
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102953
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
130782
153.3 IPS |
|
|
Object Detection (SP)
|
100% |
6529
517.8 IPS |
|
|
Object Detection (HP)
|
100% |
12106
960.2 IPS |
|
|
Object Detection (Q)
|
94% |
11892
948.2 IPS |
|
|
Face Detection (SP)
|
100% |
19236
228.6 IPS |
|
|
Face Detection (HP)
|
100% |
36624
435.2 IPS |
|
|
Face Detection (Q)
|
100% |
34383
408.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28720
221.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57571
443.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
57943
452.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81525
104.8 IPS |
|
|
Style Transfer (HP)
|
100% |
189497
243.6 IPS |
|
|
Style Transfer (Q)
|
96% |
224499
289.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16013
591.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33566
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30762
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (HP)
|
99% |
10149
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
10097
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
7048
121.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8482
146.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7673
132.6 IPS |
