MacBook Pro (14-inch, 2021)
Geekbench AI Score
3682
Single Precision Score
16490
Half Precision Score
16372
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tony84 |
| Upload Date | June 15 2025 08:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6912
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6555
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9698
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11047
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70161
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65820
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
7995
635.9 IPS |
|
|
Object Detection (Q)
|
91% |
7503
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16138
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
15130
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51804
399.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53955
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22044
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121593
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117135
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26043
961.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27921
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3851
66.5 IPS |
