MacBook Pro (14-inch, 2021)
Geekbench AI Score
10822
Single Precision Score
11848
Half Precision Score
10507
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | yoshiuk |
| Upload Date | March 14 2025 08:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4683
870.9 IPS |
|
|
Image Classification (HP)
|
100% |
4623
859.7 IPS |
|
|
Image Classification (Q)
|
97% |
4046
755.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8782
142.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8768
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8706
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
47552
55.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49636
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
45858
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
4760
377.6 IPS |
|
|
Object Detection (HP)
|
100% |
5033
399.2 IPS |
|
|
Object Detection (Q)
|
91% |
4201
335.7 IPS |
|
|
Face Detection (SP)
|
100% |
18215
216.4 IPS |
|
|
Face Detection (HP)
|
100% |
19231
228.5 IPS |
|
|
Face Detection (Q)
|
100% |
13739
163.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23830
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25147
193.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21123
165.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80205
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95276
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
89524
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16024
591.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16153
596.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12971
479.0 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1795
31.0 IPS |
