MacBook Pro (16-inch, 2021)
Geekbench AI Score
3598
Single Precision Score
5582
Half Precision Score
4568
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MysticHaze |
| Upload Date | November 12 2024 03:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21150
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16613
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1677
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
4981
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
2997
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5559
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10467
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7092
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21302
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33246
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25552
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4264
157.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3983
147.1 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3244
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4489
77.6 IPS |
