MacBook Pro (14-inch, 2021)
Geekbench AI Score
2777
Single Precision Score
4200
Half Precision Score
3669
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | schammah |
| Upload Date | November 30 2024 08:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (Q)
|
96% |
1254
234.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5589
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
13093
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11407
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
1887
150.2 IPS |
|
|
Object Detection (Q)
|
94% |
1476
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2633
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5050
38.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
7919
61.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6055
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14770
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23488
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20173
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3300
121.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3339
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3625
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3200
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3187
55.1 IPS |
