MacBook Pro (14-inch, 2021)
Geekbench AI Score
2768
Single Precision Score
4197
Half Precision Score
3670
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (Q)
|
96% |
1274
237.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1690
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5673
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13190
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11404
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
1903
151.5 IPS |
|
|
Object Detection (Q)
|
94% |
1471
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2665
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5069
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7919
61.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6057
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14810
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20182
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3328
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3569
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3173
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3175
54.9 IPS |
