MacBook Pro (14-inch, 2021)
Geekbench AI Score
3742
Single Precision Score
5848
Half Precision Score
4983
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | highlander |
| Upload Date | September 17 2024 04:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (Q)
|
99% |
1990
371.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10716
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21930
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16747
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2373
188.9 IPS |
|
|
Object Detection (Q)
|
94% |
1742
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10953
84.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11056
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21976
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35349
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35477
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6377
235.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3995
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3427
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3427
59.2 IPS |
