MacBook Pro (16-inch, 2021)
Geekbench AI Score
3887
Single Precision Score
16894
Half Precision Score
16727
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Coin1news |
| Upload Date | December 07 2024 10:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6941
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6657
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9858
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10463
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11264
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71774
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67640
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
99% |
8063
641.4 IPS |
|
|
Object Detection (Q)
|
91% |
7494
598.8 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
16261
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
15169
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5897
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52302
403.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
54202
423.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23072
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121212
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116958
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26247
969.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28479
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4436
76.7 IPS |
