MacBook Pro (14-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
5781
Half Precision Score
4968
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 07:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (Q)
|
99% |
2025
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2367
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11079
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22035
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16810
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2347
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5239
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5858
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10454
80.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
10987
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22307
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35335
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35397
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6302
232.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3954
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3570
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3589
62.0 IPS |
