MacBook Pro (16-inch, 2021)
Geekbench AI Score
3650
Single Precision Score
5629
Half Precision Score
4604
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (Q)
|
96% |
1423
265.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2616
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10638
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21541
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16712
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2263
180.2 IPS |
|
|
Object Detection (Q)
|
94% |
1665
132.7 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
3027
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5741
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10577
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7151
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21529
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33917
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25647
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6234
230.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4001
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3491
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4819
83.3 IPS |
