MacBook Pro (16-inch, 2021)
Geekbench AI Score
2733
Single Precision Score
4143
Half Precision Score
3423
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jdawson |
| Upload Date | August 15 2024 08:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (Q)
|
99% |
1593
297.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1211
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1174
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5578
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
12971
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11090
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
97% |
1882
149.9 IPS |
|
|
Object Detection (Q)
|
94% |
1468
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2522
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4972
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7797
60.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
3561
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14581
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23550
30.3 IPS |
|
|
Style Transfer (Q)
|
100% |
23505
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4302
158.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3255
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3352
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3143
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3157
54.6 IPS |
