MacBook Pro (14-inch, 2021)
Geekbench AI Score
3764
Single Precision Score
5785
Half Precision Score
4751
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Besya |
| Upload Date | November 03 2024 12:15 AM |
| Views | 8 |
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 (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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.5 IPS |
|
|
Image Classification (Q)
|
96% |
1493
278.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11139
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22239
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17196
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2353
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10549
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22542
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35447
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27338
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6180
228.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4006
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3513
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4814
83.2 IPS |
