MacBook Pro (14-inch, 2021)
Geekbench AI Score
3684
Single Precision Score
16543
Half Precision Score
16458
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SuperTerminator |
| Upload Date | April 26 2025 01:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
6950
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6618
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9774
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11103
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70944
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67708
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
8014
637.5 IPS |
|
|
Object Detection (Q)
|
91% |
7492
598.7 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16367
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
15232
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5837
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51806
399.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53465
417.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22026
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121414
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116488
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25828
953.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27890
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3883
67.1 IPS |
