MacBook Pro (14-inch, 2021)
Geekbench AI Score
3893
Single Precision Score
16037
Half Precision Score
15924
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 11:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
6586
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6258
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9585
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10215
165.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71095
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67083
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1646
130.6 IPS |
|
|
Object Detection (HP)
|
99% |
7627
606.7 IPS |
|
|
Object Detection (Q)
|
91% |
7132
569.9 IPS |
|
|
Face Detection (SP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
15101
179.4 IPS |
|
|
Face Detection (Q)
|
100% |
14378
170.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6120
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51294
395.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
52534
410.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23238
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119993
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116257
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26202
967.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28660
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3396
58.7 IPS |
