MacBook Pro (16-inch, 2021)
Geekbench AI Score
1993
Single Precision Score
12830
Half Precision Score
13426
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | antonme |
| Upload Date | August 16 2024 01:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
961
178.7 IPS |
|
|
Image Classification (HP)
|
100% |
7362
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
7686
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3878
62.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10344
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69851
81.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
66133
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
99% |
7694
612.1 IPS |
|
|
Object Detection (Q)
|
93% |
7315
583.7 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
10286
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
12271
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3210
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47097
362.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
50465
390.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12206
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118942
152.9 IPS |
|
|
Style Transfer (Q)
|
100% |
124388
159.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19204
709.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24002
889.2 IPS |
|
|
Text Classification (SP)
|
100% |
598
797.9 IPS |
|
|
Text Classification (HP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1925
33.3 IPS |
