MacBook Pro (14-inch, 2021)
Geekbench AI Score
11562
Single Precision Score
12477
Half Precision Score
11098
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | August 19 2025 06:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4989
927.9 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.5 IPS |
|
|
Image Classification (Q)
|
97% |
4364
814.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9941
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10246
166.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10377
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56871
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60163
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55324
64.8 IPS |
|
|
Object Detection (SP)
|
100% |
5157
409.0 IPS |
|
|
Object Detection (HP)
|
100% |
5270
418.0 IPS |
|
|
Object Detection (Q)
|
91% |
4603
367.8 IPS |
|
|
Face Detection (SP)
|
100% |
20914
248.5 IPS |
|
|
Face Detection (HP)
|
100% |
22054
262.0 IPS |
|
|
Face Detection (Q)
|
100% |
16307
193.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26309
202.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27050
208.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23236
181.6 IPS |
|
|
Style Transfer (SP)
|
100% |
97010
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120441
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112605
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16762
619.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16926
625.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13596
502.0 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1082
18.7 IPS |
