MacBook Pro (14-inch, 2021)
Geekbench AI Score
10188
Single Precision Score
11029
Half Precision Score
9880
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pu154r |
| Upload Date | November 14 2024 05:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4367
812.2 IPS |
|
|
Image Classification (HP)
|
100% |
4473
831.9 IPS |
|
|
Image Classification (Q)
|
97% |
3816
712.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8658
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8564
138.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8593
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
47255
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49243
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45515
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
4668
370.3 IPS |
|
|
Object Detection (HP)
|
100% |
4975
394.6 IPS |
|
|
Object Detection (Q)
|
91% |
4160
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
18532
220.2 IPS |
|
|
Face Detection (HP)
|
100% |
18999
225.8 IPS |
|
|
Face Detection (Q)
|
100% |
13721
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23561
181.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24083
185.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20325
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81626
104.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95265
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
89673
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15626
577.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15606
576.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12802
472.7 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1131
19.5 IPS |
