MacBook Pro (14-inch, 2021)
Geekbench AI Score
10566
Single Precision Score
11630
Half Precision Score
10804
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SuperTerminator |
| Upload Date | April 26 2025 01:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4481
833.3 IPS |
|
|
Image Classification (HP)
|
100% |
4525
841.6 IPS |
|
|
Image Classification (Q)
|
96% |
4160
776.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10133
164.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10046
162.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9515
154.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47398
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49574
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47496
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
4647
368.6 IPS |
|
|
Object Detection (HP)
|
100% |
4899
388.6 IPS |
|
|
Object Detection (Q)
|
92% |
4539
362.3 IPS |
|
|
Face Detection (SP)
|
100% |
18229
216.6 IPS |
|
|
Face Detection (HP)
|
100% |
18833
223.8 IPS |
|
|
Face Detection (Q)
|
100% |
16051
190.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23692
182.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24997
192.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
22382
175.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80983
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95693
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
93401
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15863
585.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15824
584.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13949
515.1 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1351
23.3 IPS |
