MacBook Pro (14-inch, 2021)
Geekbench AI Score
3760
Single Precision Score
16597
Half Precision Score
16396
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | yoshiuk |
| Upload Date | March 14 2025 07:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
6989
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6493
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9735
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10228
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11099
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72017
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67917
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.7 IPS |
|
|
Object Detection (HP)
|
99% |
7952
632.6 IPS |
|
|
Object Detection (Q)
|
91% |
7337
586.3 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16380
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
15368
182.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51654
398.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53913
421.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21988
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120539
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116610
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25875
955.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28319
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4099
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3785
65.4 IPS |
