MacBook Pro (14-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
16051
Half Precision Score
15538
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | collverab3 |
| Upload Date | November 04 2024 05:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
6555
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6278
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9734
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10136
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10996
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71390
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67816
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
99% |
7631
607.1 IPS |
|
|
Object Detection (Q)
|
91% |
7180
573.7 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
15386
182.8 IPS |
|
|
Face Detection (Q)
|
100% |
13976
166.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50747
391.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
52899
413.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22223
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120261
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116509
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24678
911.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21786
804.5 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3591
62.1 IPS |
