MacBook Pro (14-inch, 2021)
Geekbench AI Score
8568
Single Precision Score
8682
Half Precision Score
2733
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | schammah |
| Upload Date | November 30 2024 08:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4119
766.0 IPS |
|
|
Image Classification (HP)
|
100% |
4155
772.7 IPS |
|
|
Image Classification (Q)
|
97% |
3168
591.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8110
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7982
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7680
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
46551
54.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
48675
56.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
42867
50.2 IPS |
|
|
Object Detection (SP)
|
100% |
4394
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
4587
363.8 IPS |
|
|
Object Detection (Q)
|
92% |
3549
283.3 IPS |
|
|
Face Detection (SP)
|
100% |
16224
192.8 IPS |
|
|
Face Detection (HP)
|
100% |
15830
188.1 IPS |
|
|
Face Detection (Q)
|
100% |
11536
137.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23252
179.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23545
181.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
147.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78736
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93131
119.7 IPS |
|
|
Style Transfer (Q)
|
96% |
82221
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15753
581.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16367
604.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11899
439.4 IPS |
|
|
Text Classification (SP)
|
100% |
684
912.8 IPS |
|
|
Text Classification (HP)
|
100% |
575
767.0 IPS |
|
|
Text Classification (Q)
|
93% |
520
698.2 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1074
18.6 IPS |
