MacBook Pro (14-inch, 2021)
Geekbench AI Score
3546
Single Precision Score
11275
Half Precision Score
11864
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | matwyn |
| Upload Date | September 24 2024 09:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1289
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6225
100.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6574
106.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10247
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
63903
74.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60014
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
2746
218.4 IPS |
|
|
Object Detection (Q)
|
91% |
5867
468.8 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
13654
162.2 IPS |
|
|
Face Detection (Q)
|
100% |
13562
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5494
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48924
376.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
45711
357.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
109637
140.9 IPS |
|
|
Style Transfer (Q)
|
96% |
105441
136.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25325
935.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27452
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3635
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1592
27.5 IPS |
