MacBook Pro (14-inch, 2023)
Geekbench AI Score
4274
Single Precision Score
27221
Half Precision Score
30519
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Wadsworth |
| Upload Date | February 27 2025 01:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
14470
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
17382
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19570
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24533
397.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13203
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106195
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104934
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
99% |
16092
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17645
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
35421
420.9 IPS |
|
|
Face Detection (Q)
|
100% |
46028
546.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6507
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88056
678.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111144
868.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25111
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204379
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
192399
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5177
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42308
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50756
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4769
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4415
76.3 IPS |
