MacBook Pro (16-inch, 2021)
Geekbench AI Score
3726
Single Precision Score
13729
Half Precision Score
14194
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | owine |
| Upload Date | August 16 2024 03:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
6841
1.27 KIPS |
|
|
Image Classification (Q)
|
99% |
7054
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5893
95.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5887
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69238
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
66440
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
7301
580.8 IPS |
|
|
Object Detection (Q)
|
91% |
7440
594.5 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
11903
141.4 IPS |
|
|
Face Detection (Q)
|
100% |
13445
159.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45531
350.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
49038
379.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116486
149.7 IPS |
|
|
Style Transfer (Q)
|
100% |
122781
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25372
936.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27666
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1883
32.5 IPS |
