MacBook Pro (14-inch, 2021)
Geekbench AI Score
3780
Single Precision Score
16354
Half Precision Score
16269
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | December 08 2024 09:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.22 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
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
6788
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6520
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9755
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71263
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67428
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7880
626.9 IPS |
|
|
Object Detection (Q)
|
91% |
7453
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
14365
170.7 IPS |
|
|
Face Detection (Q)
|
100% |
13263
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5950
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51431
396.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53815
420.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22396
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120793
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116850
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4412
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25824
953.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27864
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4036
69.8 IPS |
