MacBook Pro (14-inch, 2021)
Geekbench AI Score
9442
Single Precision Score
10462
Half Precision Score
9181
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
4385
815.4 IPS |
|
|
Image Classification (HP)
|
100% |
4190
779.3 IPS |
|
|
Image Classification (Q)
|
97% |
3565
665.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8634
140.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8459
137.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8450
137.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46773
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48905
57.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
45184
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
4109
326.0 IPS |
|
|
Object Detection (HP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (Q)
|
91% |
3780
302.0 IPS |
|
|
Face Detection (SP)
|
100% |
16688
198.3 IPS |
|
|
Face Detection (HP)
|
100% |
17183
204.2 IPS |
|
|
Face Detection (Q)
|
100% |
12851
152.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22623
174.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23441
180.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19912
155.6 IPS |
|
|
Style Transfer (SP)
|
100% |
76294
98.1 IPS |
|
|
Style Transfer (HP)
|
100% |
92414
118.8 IPS |
|
|
Style Transfer (Q)
|
96% |
85318
110.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14484
534.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15303
565.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11497
424.5 IPS |
|
|
Text Classification (SP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3485
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
946
16.3 IPS |
