MacBook Pro (14-inch, 2021)
Geekbench AI Score
3696
Single Precision Score
5828
Half Precision Score
4677
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SuperTerminator |
| Upload Date | April 26 2025 01:43 PM |
| Views | 4 |
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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (Q)
|
96% |
1514
282.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11137
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21793
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16719
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2275
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1706
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3077
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10177
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7061
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21781
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33732
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26134
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4077
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4742
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4855
83.9 IPS |
