MacBook Pro (14-inch, 2021)
Geekbench AI Score
3749
Single Precision Score
5703
Half Precision Score
4720
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 01:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (Q)
|
96% |
1479
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11132
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21940
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17214
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
2378
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
1731
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10933
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7356
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22583
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35018
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27263
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6285
232.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4091
151.1 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3173
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4851
83.8 IPS |
