MacBook Pro (14-inch, 2021)
Geekbench AI Score
3779
Single Precision Score
16707
Half Precision Score
16315
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Vinski |
| Upload Date | March 25 2025 10:52 AM |
| Views | 2 |
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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
7119
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6781
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9891
160.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10463
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71384
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68183
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
99% |
8083
643.0 IPS |
|
|
Object Detection (Q)
|
91% |
7556
603.7 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
16443
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
13120
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52491
404.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54670
427.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22524
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
122182
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118145
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26598
982.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27908
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3856
66.6 IPS |
