MacBook Pro (14-inch, 2021)
Geekbench AI Score
3699
Single Precision Score
5848
Half Precision Score
4729
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 17 2025 03:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
96% |
1499
279.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22193
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17522
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2291
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1702
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3058
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10367
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7158
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22036
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32709
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27146
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4423
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4099
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4809
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4883
84.4 IPS |
