MacBook Pro (14-inch, 2021)
Geekbench AI Score
3755
Single Precision Score
13728
Half Precision Score
14207
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 07:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6709
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
7060
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5906
95.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5903
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11010
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69643
81.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
66545
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
99% |
7419
590.2 IPS |
|
|
Object Detection (Q)
|
91% |
7430
593.7 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
11334
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
13432
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5875
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46114
355.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
49525
382.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22365
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117660
151.3 IPS |
|
|
Style Transfer (Q)
|
100% |
123593
158.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4370
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26104
963.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27695
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3825
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1881
32.5 IPS |
