MacBook Pro (14-inch, 2021)
Geekbench AI Score
3784
Single Precision Score
14983
Half Precision Score
15457
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | highlander |
| Upload Date | December 25 2024 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
6566
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6997
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8001
129.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8019
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11115
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68940
80.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
65688
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
99% |
7070
562.4 IPS |
|
|
Object Detection (Q)
|
91% |
7082
565.8 IPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
11517
136.8 IPS |
|
|
Face Detection (Q)
|
100% |
12378
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44748
344.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47648
368.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22570
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
116435
149.7 IPS |
|
|
Style Transfer (Q)
|
100% |
121524
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25841
954.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27733
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3866
66.8 IPS |
