MacBook Pro (14-inch, 2021)
Geekbench AI Score
11665
Single Precision Score
12715
Half Precision Score
11479
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 01:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4958
922.0 IPS |
|
|
Image Classification (HP)
|
100% |
5040
937.3 IPS |
|
|
Image Classification (Q)
|
97% |
4413
823.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10305
167.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10474
169.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10680
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57218
66.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60564
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55770
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (HP)
|
100% |
5475
434.3 IPS |
|
|
Object Detection (Q)
|
91% |
4757
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
21947
260.8 IPS |
|
|
Face Detection (HP)
|
100% |
22528
267.7 IPS |
|
|
Face Detection (Q)
|
100% |
16624
197.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26918
207.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28068
216.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
23796
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96403
123.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120827
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113195
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16714
617.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17169
634.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14152
522.6 IPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1346
23.3 IPS |
