MacBook Pro (14-inch, 2021)
Geekbench AI Score
3773
Single Precision Score
14847
Half Precision Score
14605
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:40 PM |
| Views | 2 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
6993
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6692
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6489
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6795
110.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11193
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71929
83.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65418
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
8066
641.6 IPS |
|
|
Object Detection (Q)
|
91% |
7491
598.6 IPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
16303
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
15206
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51974
400.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53918
421.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120479
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115971
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25864
955.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28133
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1889
32.6 IPS |
