MacBook Pro (14-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
15865
Half Precision Score
15825
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | t0m3k |
| Upload Date | December 29 2024 02:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6112
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9556
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10168
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11191
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69826
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67023
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
7510
597.4 IPS |
|
|
Object Detection (Q)
|
91% |
7017
560.7 IPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
15064
179.0 IPS |
|
|
Face Detection (Q)
|
100% |
14163
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5927
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50359
388.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
52177
407.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120586
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116507
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25316
934.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27652
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3764
65.1 IPS |
