Mac17,2
Geekbench AI Score
13667
Single Precision Score
25674
Half Precision Score
26055
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 05:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6238
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
10692
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
10818
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10181
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16301
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16704
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39466
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
101417
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
129796
152.1 IPS |
|
|
Object Detection (SP)
|
100% |
6433
510.3 IPS |
|
|
Object Detection (HP)
|
100% |
11825
938.0 IPS |
|
|
Object Detection (Q)
|
94% |
11616
926.2 IPS |
|
|
Face Detection (SP)
|
100% |
18443
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
35953
427.2 IPS |
|
|
Face Detection (Q)
|
100% |
33520
398.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28686
221.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56239
433.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
56503
441.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80156
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
188560
242.4 IPS |
|
|
Style Transfer (Q)
|
96% |
222470
287.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16329
602.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32775
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29768
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6883
118.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8495
146.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7607
131.5 IPS |
