Mac17,2
Geekbench AI Score
14589
Single Precision Score
27001
Half Precision Score
27366
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | checcobai |
| Upload Date | March 04 2026 09:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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% |
6125
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10344
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10307
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10218
165.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17135
277.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17007
275.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39600
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103027
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
130376
152.8 IPS |
|
|
Object Detection (SP)
|
100% |
6461
512.5 IPS |
|
|
Object Detection (HP)
|
100% |
11836
938.8 IPS |
|
|
Object Detection (Q)
|
94% |
11941
952.1 IPS |
|
|
Face Detection (SP)
|
100% |
19478
231.4 IPS |
|
|
Face Detection (HP)
|
100% |
36515
433.9 IPS |
|
|
Face Detection (Q)
|
100% |
34537
410.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28553
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57437
442.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
56964
444.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81672
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
188575
242.4 IPS |
|
|
Style Transfer (Q)
|
96% |
222645
287.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15739
581.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32523
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30039
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
5680
7.58 KIPS |
|
|
Text Classification (HP)
|
100% |
9224
12.3 KIPS |
|
|
Text Classification (Q)
|
92% |
9154
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
6721
115.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8032
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7168
123.9 IPS |
