MacBook Pro (14-inch, 2021)
Geekbench AI Score
3544
Single Precision Score
15932
Half Precision Score
15937
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gshaw1967 |
| Upload Date | November 18 2024 02:48 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
6570
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6519
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9680
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10358
167.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10397
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71214
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67495
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
7502
596.8 IPS |
|
|
Object Detection (Q)
|
91% |
7116
568.6 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
15384
182.8 IPS |
|
|
Face Detection (Q)
|
100% |
14462
171.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50591
389.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52716
412.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21159
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119521
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115298
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25160
929.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27644
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3613
62.4 IPS |
